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A Fuzzy Analytic Network Process Model to Mitigate the Risks associated with Offshore Wind Farms

Shafiee, Mahmood (2015) A Fuzzy Analytic Network Process Model to Mitigate the Risks associated with Offshore Wind Farms. Expert Systems with Applications, 42 (4). pp. 2143-2152. ISSN 0957-4174. (doi:10.1016/j.eswa.2014.10.019) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:79819)

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In the offshore renewable energy industry, it is extremely important to reduce the likelihood as well as the magnitude of potential risk events during system’s actual operation. Operational risks (either risk of system failures or environmental risks) may cause catastrophic damages to personnel or infrastructure and result in substantial costs in terms of lost production and emergency maintenance operations. Selection of a suitable strategy for mitigation of the risks associated with offshore renewable energy projects is a very complex and critical task. The aim of this paper is to propose a fuzzy analytic network process (FANP) approach, based on Chang’s extent analysis, in order to select the “most appropriate risk mitigation strategy” for offshore wind farms. Our proposed model consists of four possible alternatives (variation of offshore site layout, improvement of maintenance services, upgrading the monitoring systems, and modification in design of wind turbines) among which the decision maker has to select the best strategy according to four comparison criteria: safety, added value, cost and feasibility. The model is then applied to determine a suitable risk mitigation strategy for an offshore wind farm consisting of 30 wind turbines of 2 MW. Finally, the results are compared with those obtained using the crisp AHP and ANP models.

Item Type: Article
DOI/Identification number: 10.1016/j.eswa.2014.10.019
Uncontrolled keywords: Risk mitigation; Offshore wind farm; Multiple-criteria decision analysis (MCDA); Fuzzy analytic network process (FANP); Operation and maintenance (O&M)
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TS Manufactures
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 27 Jan 2020 13:07 UTC
Last Modified: 17 Aug 2022 11:02 UTC
Resource URI: (The current URI for this page, for reference purposes)

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